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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Popular Applied Machine Learning Courses and Certifications


  • Status: New
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    P

    Packt

    Python Machine Learning By Example

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Machine Learning Algorithms, Software Visualization, Machine Learning, Python Programming, Advanced Mathematics, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    967 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
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    683 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing

    3.9
    Rating, 3.9 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Data-Driven Marketing, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    8.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, Plot (Graphics), NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Model Optimization, Machine Learning Algorithms, Text Mining, Data Manipulation, Predictive Modeling, Model Training, Unsupervised Learning, Data Management

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Data Preprocessing, Data Transformation, Python Programming, Exploratory Data Analysis, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Data Presentation, Machine Learning, Model Optimization, Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Information Extraction in Python

    Skills you'll gain: ChatGPT, LLM Application, Machine Learning Methods, Model Training, Python Programming, Machine Learning Algorithms, Data Manipulation

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular applied machine learning courses

  • Python Machine Learning By Example: Packt
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Guided Tour of Machine Learning in Finance: New York University
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Machine Learning for Marketers: University of Colorado System
  • Advanced Learning Algorithms: DeepLearning.AI
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Applied Unsupervised Learning in Python: University of Michigan
  • Advanced Machine Learning and Deep Learning: Packt
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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